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HARN: Hierarchical Associative Resonance Network for Event-Driven Multi-Timeframe Forecasting
Not provided in the abstract
multi-timeframe forecastingassociative memoryfinancial time seriesevent-driven
2609.26822
Builder Relevance
2h ago70%
Abstract
HARN introduces a framework for multi-timeframe forecasting that maintains persistent representations and updates only when new data is available.
Reality Card
Core Claim
HARN achieves competitive forecasting errors against existing baselines while maintaining persistent representations across multiple temporal resolutions.
Method / Result
HARN shows competitive reconstructed-price forecasting errors compared to single-timeframe PatchTST and TimeXer baselines.
Limitations
The paper does not specify the authors, which may limit reproducibility and transparency.
Paper to code
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